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Probabilistic machine learning : an introduction / Kevin P. Murphy.
- Format:
- Book
- Author/Creator:
- Murphy, Kevin P., 1970- author.
- Series:
- Adaptive computation and machine learning
- Language:
- English
- Subjects (All):
- Machine learning.
- Probabilities.
- Probability.
- Machine Learning.
- probability.
- Medical Subjects:
- Probability.
- Machine Learning.
- Physical Description:
- 1 online resource (xxix, 826 pages) : illustrations (some color).
- illustration
- polychrome
- Place of Publication:
- Cambridge, Massachusetts : The MIT Press, [2022]
- Summary:
- "This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes). It provides a perfect introduction for people who want to understand cutting edge work in top machine learning conferences such as NeurIPS, ICML and ICLR"-- Provided by publisher.
- Contents:
- Introduction
- Probability: univariate models
- Probability: multivariate models
- Statistics
- Decision theory
- Information theory
- Linear algebra
- Optimization
- Linear discriminant analysis
- Logistic regression
- Linear regression
- Generalized linear models
- Neural networks for structured data
- Neural networks for images
- Neural networks for sequences
- Exemplar-based methods
- Kernel methods
- Trees, forests, bagging, and boosting
- Learning with fewer labeled examples
- Dimensionality reduction
- Clustering
- Recommender systems
- Graph embeddings.
- Notes:
- Includes bibliographical references and index.
- Online resource; title from PDF title page (viewed February 14, 2022).
- Other Format:
- Print version: Murphy, Kevin P., 1970- Probabilistic machine learning.
- ISBN:
- 0262369303
- 9780262369305
- 0262369311
- 9780262369312
- OCLC:
- 1296430290
- Access Restriction:
- Some versions: Open access versions available from some providers open access
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